Literature DB >> 25190678

Invited commentary: do-it-yourself modern epidemiology--at last!

Alfredo Morabia.   

Abstract

In this issue of the Journal, Keyes and Galea (Am J Epidemiol. 2014;180(7):661-668) propose "7 foundational steps" for introducing epidemiologic methods and concepts to beginners. Keyes and Galea's credo is that the methododological and conceptual components that comprise epidemiology, today scattered in textbook chapters, come together as an integrated and coherent methodological corpus in the process of designing studies. Thus, they expound, the process of designing studies should be the core of teaching epidemiology. Two aspects of their 7-steps-to-epidemiology, do-it-yourself user manual stand out as novel: 1) the approach, because of its emphasis on modern epidemiology's causal framework of a dynamic population in a steady state evolving across time, and 2) the ambition to teach modern epidemiology in introductory courses, instead of the popular mix of classical and modern epidemiology that is often used today to keep introductory courses simple. Both aspects are of potentially great significance for our discipline.
© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  causal frameworks; classical epidemiology; modern epidemiology; teaching

Mesh:

Year:  2014        PMID: 25190678      PMCID: PMC4172169          DOI: 10.1093/aje/kwu221

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  8 in total

1.  Epidemiological methods and inferences in studies of non-infectious diseases.

Authors:  A M LILIENFELD
Journal:  Public Health Rep       Date:  1957-01       Impact factor: 2.792

2.  Cancer of the Lung.

Authors: 
Journal:  Br Med J       Date:  1942-05-30

3.  Estimability and estimation in case-referent studies.

Authors:  O Miettinen
Journal:  Am J Epidemiol       Date:  1976-02       Impact factor: 4.897

4.  Current practices in teaching introductory epidemiology: how we got here, where to go.

Authors:  Katherine M Keyes; Sandro Galea
Journal:  Am J Epidemiol       Date:  2014-09-04       Impact factor: 4.897

5.  Identifiability, exchangeability, and epidemiological confounding.

Authors:  S Greenland; J M Robins
Journal:  Int J Epidemiol       Date:  1986-09       Impact factor: 7.196

6.  Epidemiology of infectious and non-infectious disease: some comparisons.

Authors:  A M Lilienfeld
Journal:  Am J Epidemiol       Date:  1973-03       Impact factor: 4.897

7.  Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models.

Authors:  Stephen R Cole; Miguel A Hernán; James M Robins; Kathryn Anastos; Joan Chmiel; Roger Detels; Carolyn Ervin; Joseph Feldman; Ruth Greenblatt; Lawrence Kingsley; Shenghan Lai; Mary Young; Mardge Cohen; Alvaro Muñoz
Journal:  Am J Epidemiol       Date:  2003-10-01       Impact factor: 4.897

Review 8.  The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today.

Authors:  R Doll; R Peto
Journal:  J Natl Cancer Inst       Date:  1981-06       Impact factor: 13.506

  8 in total
  1 in total

1.  #Bias: The Opportunities and Challenges of Surveys That Recruit and Collect Data of Autistic Adults Online.

Authors:  Eric Rubenstein; Sarah Furnier
Journal:  Autism Adulthood       Date:  2021-06-07
  1 in total

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